Deepfake fraud is reshaping cyber risk. Organisations must protect decision-making processes, not just systems, as AI-enabled impersonation attacks rapidly increase in scale and sophistication.
AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
How invisible digital infrastructure, composable architecture, and omnichannel delivery are reshaping storytelling, enabling publishers and media brands to deliver seamless audience experiences globally.
Digital identity is evolving under EUDI regulation. Businesses must bridge centralised and decentralised systems while maintaining trust, security and seamless user verification across platforms.
Quantum computing is approaching real-world impact. Its benefits and risks will depend on policy, access, and governance decisions made by industry, government, and researchers today.
Biometrics face growing risk in the AI era as deepfakes rise, pushing organisations towards zero-knowledge architectures to protect identities and eliminate centralised data vulnerabilities critical.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
Edge computing strengthens cloud resilience by ensuring uptime during outages, enabling hybrid infrastructure strategies that protect critical workloads, reduce disruption, and support reliable business continuity.
How Formula 1’s AI-driven operations offer a blueprint for automotive manufacturers to improve agility, streamline workflows, and scale innovation across the entire vehicle lifecycle.
AI growth is driving energy demand sharply higher. Smaller, optimised models offer a sustainable path forward, reducing costs while maintaining performance and enabling wider enterprise adoption.
A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.
Hybrid IT environments create major data visibility gaps. Organisations must prioritise unified data security, AI-driven detection and Zero Trust to protect sensitive data across complex ecosystems.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
AI success depends on strong processes, clear outcomes and confident teams. Organisations that align people, workflows and data are far more likely to realise real AI value.
How Ericsson is helping telecoms providers meet the world’s extraordinary demand for connectivity.
Talon Outdoor is bringing advertising’s oldest medium, Out of Home, into the 21st century.
This month, Ben, Rom and James tackle the topical subject of quantum computing. When we will see some practical use cases? Will it change the world? Can three journalists get their heads around the science?
Ben also interviews Faethm AI CEO Michael Priddis about the evolution of work.
In this episode, Innovation Group’s CTO Mike Hinton explores the topics of “digital transformation”, “DevOps”, “blockchain” and more.
Hamza Khan of McKinsey & Company’s on how brands can begin to shape an effective metaverse strategy.
Qlik’s mission to create a data-literate workforce
Deepfake fraud is reshaping cyber risk. Organisations must protect decision-making processes, not just systems, as AI-enabled impersonation attacks rapidly increase in scale and sophistication.
AI investment alone will not close the productivity gap. Lasting business impact depends on culture, transformation, operational alignment, and leadership readiness for change.
Generative AI success no longer depends on models alone. Gartner reveals why data readiness, metadata and governance now determine scalable AI performance.
How invisible digital infrastructure, composable architecture, and omnichannel delivery are reshaping storytelling, enabling publishers and media brands to deliver seamless audience experiences globally.
Digital identity is evolving under EUDI regulation. Businesses must bridge centralised and decentralised systems while maintaining trust, security and seamless user verification across platforms.
Quantum computing is approaching real-world impact. Its benefits and risks will depend on policy, access, and governance decisions made by industry, government, and researchers today.
Biometrics face growing risk in the AI era as deepfakes rise, pushing organisations towards zero-knowledge architectures to protect identities and eliminate centralised data vulnerabilities critical.
AI agents are transforming software development, shifting developers from coders to orchestrators of intelligent workflows, where data, infrastructure and strategic oversight define success.
Edge computing strengthens cloud resilience by ensuring uptime during outages, enabling hybrid infrastructure strategies that protect critical workloads, reduce disruption, and support reliable business continuity.
How Formula 1’s AI-driven operations offer a blueprint for automotive manufacturers to improve agility, streamline workflows, and scale innovation across the entire vehicle lifecycle.
AI growth is driving energy demand sharply higher. Smaller, optimised models offer a sustainable path forward, reducing costs while maintaining performance and enabling wider enterprise adoption.
A practical AI maturity model helping procurement teams reduce backlogs, automate workflows, and evolve into strategic value creators delivering measurable ROI and business impact.
Inefficient security workflows are driving developer burnout, reducing productivity and increasing risk. Learn how automation and culture shifts can help teams regain focus and improve security outcomes.
AI in retail has moved from experimentation to execution, with success now defined by measurable outcomes, operational performance and real-world impact across supply chains.
Business resilience is often misunderstood. Discover the five maturity stages and how organisations can benchmark, strengthen operations, and move from reactive to strategically resilient.
AI performance is no longer driven by scale alone. Organised, connected context through knowledge graphs is emerging as the key to accurate, reliable enterprise intelligence.
Shadow AI is already embedded across organisations, creating unseen risks. Effective governance, visibility and control are now essential to manage AI adoption securely and responsibly.
Agentic AI is transforming enterprise operations, evolving from reactive co-pilots to proactive digital colleagues that drive autonomous outcomes, orchestration, and scalable business value.
AI-powered BPS is shifting from cost control to strategic advantage, enabling organisations to embed intelligence, improve decision-making, and drive long-term competitive growth.
Hybrid IT environments create major data visibility gaps. Organisations must prioritise unified data security, AI-driven detection and Zero Trust to protect sensitive data across complex ecosystems.
Lakshmi Hanspal of DigiCert explains how organisations can adapt to 47-day TLS certificate lifetimes by improving visibility, automating renewals and building crypto-agility.
AI does not scale through better code or tools. It scales through operating models, governance and alignment that allow organisations to embed autonomy safely and effectively.
AI hesitation is creating forward-looking technical debt. Adam Spearing of ServiceNow warns delayed system readiness will widen capability gaps and undermine enterprise competitiveness.
AI in retail delivers the greatest value behind the scenes, transforming supply chains with predictive insights, improving forecasting accuracy, reducing waste and enabling smarter operational decisions.
